Relevant bibliographies by topics / Evaluation of simulation models

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Evaluation of simulation models'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Evaluation of simulation models"

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Lin, Qi, and Zhi Li. "Credibility Evaluation of Simulation Models." Advanced Materials Research 765-767 (September 2013): 713–16. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.713.

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This paper discusses an evaluation methodology that can be used to assess the credibility of simulation models. The goal of verification and validation of simulation models will be described, together with a description of evaluation methodology and evaluation procedures. The credibility of simulation models can be evaluated using the method proposed here, which will be much meaningful to the simulation systems development. Taking a space Tether-net simulation system as an instance, the credibility evaluation result is provided.
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Rojo, Marta. "Evaluation of Traffic Assignment Models through Simulation." Sustainability 12, no. 14 (2020): 5536. http://dx.doi.org/10.3390/su12145536.

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Assignment methodologies attempt to determine the traffic flow over each network arc based on its characteristics and the total flow over the entire area. There are several methodologies—some fast and others that are more complex and require more time to complete the calculation. In this study, we evaluated different assignment methodologies using a computer simulation and tested the results in a specific case study. The results showed that the “all-or-nothing” methods and the incremental assignment methods generally yield results with an unacceptable level of error unless the traffic is divided into four or more equal parts. The method of successive averages (MSA) was valid starting from a relatively low number of iterations, while the user equilibrium methodologies (approximated using the Frank and Wolfe algorithm) were valid starting from an even lower number of iterations. These results may be useful to researchers in the field of computer simulation and planners who apply these methodologies in similar cases.
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Campbell, Nicholas S., Kyle Hanquist, Andrew Morin, Jason Meyers, and Iain Boyd. "Evaluation of Computational Models for Electron Transpiration Cooling." Aerospace 8, no. 9 (2021): 243. http://dx.doi.org/10.3390/aerospace8090243.

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Recent developments in the world of hypersonic flight have brought increased attention to the thermal response of materials exposed to high-enthalpy gases. One promising concept is electron transpiration cooling (ETC) that provides the prospect of a passive heat removal mechanism, rivaling and possibly outperforming that of radiative cooling. In this work, non-equilibrium CFD simulations are performed to evaluate the possible roles of this cooling mode under high-enthalpy conditions obtainable in plasma torch ground-test facilities capable of long flow times. The work focuses on the test case of argon gas being heated to achieve enthalpies equivalent to post-shock conditions experienced by a vehicle flying through the atmosphere at hypersonic speed. Simulations are performed at a range of conditions and are used to calibrate direct comparisons between torch operating conditions and resulting flow properties. These comparisons highlight important modeling considerations for simulating long-duration, hot chamber tests. Simulation results correspond well with the experimental measurements of gas temperature, material surface temperature as well as measured current generated in the test article. Theoretical methods taking into consideration space charge limitations are presented and applied to provide design suggestions to boost the ETC effect in future experiments.
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Manlig, František, Radek Havlik, and Alena Gottwaldova. "Settings, Experimentation and Evaluation of the Simulation Models." Applied Mechanics and Materials 309 (February 2013): 366–71. http://dx.doi.org/10.4028/www.scientific.net/amm.309.366.

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This paper deals with research in computer simulation of manufacturing processes. The paper summarizes the procedures associated with developing the model, experimenting with and evaluating the model results. The key area is of experimentation with the simulation model and evaluation using indicators or multi-criteria functions. With regards to the experiment the crucial variables are the simulation model. The key ideas are to set the number of variables, depending on what a given simulation will be. For example, when introducing new technology into production, modify the type of warehouse, saving workers, thus economizing. The simulation models for the operational management uses simplified models, if possible, a minimum number of variables to obtain the result in shortest possible time. These models are more user friendly and the course will be conducted mostly in the background. An example of a criteria function is the number of parts produced or production time. Multi-criteria function has given us the opportunity to make better quality decisions. It is based on the composition of several parameters, including their weight to one end point. The type of evaluation functions, whether it is an indicator or criteria function is selected and based on customer requirements. In most cases it is recommended to use the multi-dimensional function. It gives us a more comprehensive view of the results from the model and facilitates decision-making. The result of this paper is a display of setting parameters for the experimentation on a sample model. Furthermore, the comparisons of results with a multi-criteria objective function and one-criterion indicator.
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Song, Z., H. Liu, L. Zhang, F. Qiao, and C. Wang. "Evaluation of the eastern equatorial Pacific SST seasonal cycle in CMIP5 models." Ocean Science Discussions 11, no. 2 (2014): 1129–47. http://dx.doi.org/10.5194/osd-11-1129-2014.

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Abstract. The annual cycle of sea surface temperature (SST) in the eastern equatorial Pacific (EEP) with the largest amplitude in the tropical oceans is poorly represented in the coupled general circulation models (CGCMs) of the Coupled Model Intercomparison Project phase 3 (CMIP3). In this study, 18 models from CMIP5 projects are evaluated in simulating the annual cycle in the EEP. Fourteen models are able to simulate the annual cycle, and four still show erroneous information in the simulation, which suggests that the performances of CGCMs have been improved. The results of multi-model ensemble (MME) mean show that CMIP5 CGCMs can capture the annual cycle signal in the EEP with correlation coefficients up to 0.9. For amplitude simulations, EEP region 1 (EP1) near the eastern coast shows weaker results than observations due to the large warm SST bias from the southeastern tropical Pacific in the boreal autumn. In EEP region 2 (EP2) near the central equatorial Pacific, the simulated amplitudes are nearly the same as the observations because of the presence of a quasi-constant cold bias associated with poor cold tongue climatology simulation in the CGCMs. To improve CGCMs in the simulation of a realistic SST seasonal cycle, local and remote climatology SST biases that exist in both CMIP3 and CMIP5 CGCMs must be resolved at least for the simulation in the central equatorial Pacific and the southeastern tropical Pacific.
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Cumber, P., and M. Fairweather. "Evaluation Of Participating Media Models For Fire Simulation." Fire Safety Science 6 (2000): 337–48. http://dx.doi.org/10.3801/iafss.fss.6-337.

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Abbasi, Fariborz, Mohammad Mahmodian Shooshtari, and Jan Feyen. "Evaluation of Various Surface Irrigation Numerical Simulation Models." Journal of Irrigation and Drainage Engineering 129, no. 3 (2003): 208–13. http://dx.doi.org/10.1061/(asce)0733-9437(2003)129:3(208).

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Pelletier, Dominique, and Stephanie Mahevas. "Spatially explicit fisheries simulation models for policy evaluation." Fish and Fisheries 6, no. 4 (2005): 307–49. http://dx.doi.org/10.1111/j.1467-2979.2005.00199.x.

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Filippi, J. B., V. Mallet, and B. Nader. "Evaluation of forest fire models on a large observation database." Natural Hazards and Earth System Sciences 14, no. 11 (2014): 3077–91. http://dx.doi.org/10.5194/nhess-14-3077-2014.

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Abstract. This paper presents the evaluation of several fire propagation models using a large set of observed fires. The observation base is composed of 80 Mediterranean fire cases of different sizes, which come with the limited information available in an operational context (burned surface and approximative ignition point). Simulations for all cases are carried out with four different front velocity models. The results are compared with several error scoring methods applied to each of the 320 simulations. All tasks are performed in a fully automated manner, with simulations run as first guesses with no tuning for any of the models or cases. This approach leads to a wide range of simulation performance, including some of the bad simulation results to be expected in an operational context. Disregarding the quality of the input data, it is found that the models can be ranked based on their performance and that the most complex models outperform the more empirical ones. Data and source codes used for this paper are freely available to the community.
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Filippi, J. B., V. Mallet, and B. Nader. "Evaluation of forest fire models on a large observation database." Natural Hazards and Earth System Sciences Discussions 2, no. 5 (2014): 3219–49. http://dx.doi.org/10.5194/nhessd-2-3219-2014.

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Abstract. This paper presents the evaluation of several fire propagation models using a large set of observed fires. The observation base is composed of 80 Mediterranean fire cases of different sizes, which come with the limited information available in an operational context (burned surface and approximative ignition point). Simulations for all cases are carried out with 4 different front velocity models. The results are compared with several error scoring methods applied to each of the 320 simulations. All tasks are performed in a fully automated manner, with simulations ran as first guesses with no tuning for any of the models or cases. This approach leads a wide range of simulation performance, including some of the bad simulation results to be expected in an operational context. Regardless the quality of the input data, it is found that the models can be ranked based on their performance and that the most complex models outperform the more empirical ones. Data and source code used for this paper are freely available to the community.
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Dissertations / Theses on the topic "Evaluation of simulation models"

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Yilmaz, Deniz. "Evaluation And Comparison Of Helicopter Simulation Models With Different Fidelities." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609707/index.pdf.

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This thesis concerns the development, evaluation, comparison and testing of a UH-1H helicopter simulation model with various fidelity levels. In particular, the well known minimum complexity simulation model is updated with various higher fidelity simulation components, such as the Peters-He inflow model, horizontal tail contribution, improved tail rotor model, control mapping, ground eect, fuselage interactions, ground reactions etc. Results are compared with available flight test data. The dynamic model is integrated into the open source simulation environment called Flight Gear. Finally, the model is cross-checked through evaluations using test pilots.
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Chen, Shie. "Appliance simulation models for the evaluation of energy management policies." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for telematikk, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-26710.

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A home energy management system is a system in a house that assists consumers in monitoring and optimizing electricity usage in order to lower electricity costs while maintaining consumers’ comfort. One approach to achieve this is by using energy management policies to schedule appliance activities at the appropriate time. A policy is a set of rules defining the events and the corresponding actions to reach goals. Simulations are needed to validate the policies. The SMASH (SiMulated Adaptable Smart Home) simulation platform has been developed at the Department of Telematics at NTNU. It is a model of the real adaptable smart home. It consists of entity energy models for various physical appliances. There are different types of simulation results such as cumulative energy consumption, cumulative electricity costs, and peak power. The feasibility and effectiveness of the policies can be validated. The platform developed so far only contains two energy entity models. Additional models and policies are needed to simulate the use of many policies targeting different appliances simultaneously.This project aims at developing at least two entity energy models and policies making use of the models. The models must include detailed energy consumption estimation during all the defined operations of the appliances. The tasks within this project includes 1) study how the platform works, 2) design entity energy models compatible with the platform, 3) create policies that use the designed models, 4) create case studies that combine the models and the policies, 5) implement the case studies and collect results, 6) analyze the results and evaluate the policies.
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Tonga, Melek Mehlika. "Uncertainty Evaluation Through Ranking Of Simulation Models For Bozova Oil Field." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613243/index.pdf.

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Producing since 1995, Bozova Field is a mature oil field to be re-evaluated. When evaluating an oil field, the common approach followed in a reservoir simulation study is: Generating a geological model that is expected to represent the reservoir<br>building simulation models by using the most representative dynamic data<br>and doing sensitivity analysis around a best case in order to get a history-matched simulation model. Each step deals with a great variety of uncertainty and changing one parameter at a time does not comprise the entire uncertainty space. Not only knowing the impact of uncertainty related to each individual parameter but also their combined effects can help better understanding of the reservoir and better reservoir management. In this study, uncertainties associated only to fluid properties, rock physics functions and water oil contact (WOC) depth are examined thoroughly. Since sensitivity analysis around a best case will cover only a part of uncertainty, a full factorial experimental design technique is used. Without pursuing the goal of a history matched case, simulation runs are conducted for all possible combinations of: 19 sets of capillary pressure/relative permeability (Pc/krel) curves taken from special core analysis (SCAL) data<br>2 sets of pressure, volume, temperature (PVT) analysis data<br>and 3 sets of WOC depths. As a result, historical production and pressure profiles from 114 (2 x 3 x 19) cases are presented for screening the impact of uncertainty related to aforementioned parameters in the history matching of Bozova field. The reservoir simulation models that give the best match with the history data are determined by the calculation of an objective function<br>and they are ranked according to their goodness of fit. It is found that the uncertainty of Pc/krel curves has the highest impact on the history match values<br>uncertainty of WOC depth comes next and the least effect arises from the uncertainty of PVT data. This study constitutes a solid basis for further studies which is to be done on the selection of the best matched models for history matching purposes.
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Nilsson, Håkan O. "Comfort Climate Evaluation with Thermal Manikin Methods and Computer Simulation Models." Doctoral thesis, KTH, Civil and Architectural Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3726.

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<p>Increasing concern about energy consumption and thesimultaneous need for an acceptable thermal environment makesit necessary to estimate in advance what effect differentthermal factors will have on the occupants. Temperaturemeasurements alone do not account for all climate effects onthe human body and especially not for local effects ofconvection and radiation. People as well as thermal manikinscan detect heat loss changes on local body parts. This factmakes it appropriate to develop measurement methods andcomputer models with the corresponding working principles andlevels of resolution. One purpose of this thesis is to linktogether results from these various investigation techniqueswith the aim of assessing different effects of the thermalclimate on people. The results can be used to facilitatedetailed evaluations of thermal influences both in indoorenvironments in buildings and in different types ofvehicles.</p><p>This thesis presents a comprehensive and detaileddescription of the theories and methods behind full-scalemeasurements with thermal manikins. This is done with new,extended definitions of the concept of equivalent temperature,and new theories describing equivalent temperature as avector-valued function. One specific advantage is that thelocally measured or simulated results are presented with newlydeveloped "comfort zone diagrams". These diagrams provide newways of taking into consideration both seat zone qualities aswell as the influence of different clothing types on theclimate assessment with "clothing-independent" comfort zonediagrams.</p><p>Today, different types of computer programs such as CAD(Computer Aided Design) and CFD (Computational Fluid Dynamics)are used for product development, simulation and testing of,for instance, HVAC (Heating, Ventilation and Air Conditioning)systems, particularly in the building and vehicle industry.Three different climate evaluation methods are used andcompared in this thesis: human subjective measurements, manikinmeasurements and computer modelling. A detailed description ispresented of how developed simulation methods can be used toevaluate the influence of thermal climate in existing andplanned environments. In different climate situationssubjective human experiences are compared to heat lossmeasurements and simulations with thermal manikins. Thecalculation relationships developed in this research agree wellwith full-scale measurements and subject experiments indifferent thermal environments. The use of temperature and flowfield data from CFD calculations as input produces acceptableresults, especially in relatively homogeneous environments. Inmore heterogeneous environments the deviations are slightlylarger. Possible reasons for this are presented along withsuggestions for continued research, new relationships andcomputer codes.</p><p><b>Key-words:</b>equivalent temperature, subject, thermalmanikin, mannequin, thermal climate assessment, heat loss,office environment, cabin climate, ventilated seat, computermodel, CFD, clothing-independent, comfort zone diagram.</p>
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Nilsson, Håkan O. "Comfort climate evaluation with thermal manikin methods and computer simulation models /." Stockholm : Arbetslivsinstitutet, förlagstjänst, 2004. http://ebib.arbetslivsinstitutet.se/ah/2004/ah2004_02.pdf.

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Hedlund, André. "Evaluation of RANS turbulence models for the simulation of channel flow." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-238649.

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The objective of this report is to investigate how RANS models perform on fully developed channel flow, for Re = 13 350, and the simulations are made with the open source software OpenFOAM. The velocity and turbulent kinetic energy profiles are compared with previously published DNS results. A short introduction to turbulence modelling is presented with focus on channel flow and the boundary layer. In total eleven models are evaluated, and the results are of varying quality. A convergence study is presented for two models,  and reveals that the expected second order convergence is fulfilled for one of them, whereas the study for the other model is more ambiguous without a clear conclusion. The OpenFOAM case setups for each model and the results gathered from the simulations are publicly available.
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Padilla, Ryan Michael. "Performance Evaluation of Optimal Rate Allocation Models for Wireless Networks." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3166.

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Convex programming is used in wireless networks to optimize the sending or receiving rates of links or flows in a network. This kind of optimization problem is formulated into a rate allocation problem, where each node in the network will distributively solve the convex problem and all links or flows will converge to their optimal rate. The objective function and constraints of these problems are represented in a simplified model of contention, interference, and sending or receiving rates. The Partial Interference model is an optimal rate allocation model for use in wireless mesh networks that has been shown to be theoretically superior to other conceptual models. This paper compares the Partial Interference model to three other models of wireless networks using the ns-3 simulator to verify these claims. It discusses where the model works as expected, where the model fails to improve network utility, and the limitations inherent to its use.
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Kathrada, Muhammad. "Uncertainty evaluation of reservoir simulation models using particle swarms and hierarchical clustering." Thesis, Heriot-Watt University, 2009. http://hdl.handle.net/10399/2268.

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History matching production data in finite difference reservoir simulation models has been and always will be a challenge for the industry. The principal hurdles that need to be overcome are finding a match in the first place and more importantly a set of matches that can capture the uncertainty range of the simulation model and to do this in as short a time as possible since the bottleneck in this process is the length of time taken to run the model. This study looks at the implementation of Particle Swarm Optimisation (PSO) in history matching finite difference simulation models. Particle Swarms are a class of evolutionary algorithms that have shown much promise over the last decade. This method draws parallels from the social interaction of swarms of bees, flocks of birds and shoals of fish. Essentially a swarm of agents are allowed to search the solution hyperspace keeping in memory each individual’s historical best position and iteratively improving the optimisation by the emergent interaction of the swarm. An intrinsic feature of PSO is its local search capability. A sequential niching variation of the PSO has been developed viz. Flexi-PSO that enhances the exploration and exploitation of the hyperspace and is capable of finding multiple minima. This new variation has been applied to history matching synthetic reservoir simulation models to find multiple distinct history 3 matches to try to capture the uncertainty range. Hierarchical clustering is then used to post-process the history match runs to reduce the size of the ensemble carried forward for prediction. The success of the uncertainty modelling exercise is then assessed by checking whether the production profile forecasts generated by the ensemble covers the truth case.
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Ritchie-Dunham, James Loomis. "Balanced scorecards, mental models, and organizational performance : a simulation experiment /." Thesis, Full text (PDF) from UMI/Dissertation Abstracts International, 2002. http://wwwlib.umi.com/cr/utexas/fullcit?p3082891.

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Gustavsson, Niklas. "Evaluation and Simulation of Black-box Arc Models for High-Voltage Circuit-Breakers." Thesis, Linköping University, Department of Electrical Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2299.

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<p>The task for this Master thesis was to evaluate different black-box arc models for circuit-breakers with the purpose of finding criteria for the breaking ability. A black-box model is a model that requires no knowledge from the user of the underlying physical processes. Black-box arc models have been used in circuit-breaker development for many years. Arc voltages from tests made in the High Power Laboratory in Ludvika were used for validation, along with the resistance calculated at current zero, R0, and 500 ns before current zero, R500. </p><p>Three different arc models were evaluated: Cassie-Mayr, KEMA and an arc model based on power calculations. The third model gave very good results and if the model is developed further, the breaking ability could easily be estimated. </p><p>The arc model based on power calculations could be improved by using better approximations of the quantities in the model, and by representing the current better. A further suggestion for the following work is to combine the second arc model tested, the KEMA model, with the model based on power calculations in order to estimate the KEMA model parameters. </p><p>The R0 and R500 values should also be calculated from more tests, in order to find a clear limit of the breaking ability.</p>
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Books on the topic "Evaluation of simulation models"

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University of Newcastle upon Tyne. School of Architecture. The documentation and evaluation ofbuilding simulation models. Building Environmental Performance Analysis Club, 1989.

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Wackter, David. Evaluation of mobile source air quality simulation models. The Office, 1986.

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Cox, William M. Evaluation of rural air quality simulation models: Addendum C : Kincaid SO. U.S. Environmental Protection Agency, Office of Air and Radiation, Office of Air Quality Planning and Standards, 1986.

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Cox, William M. Evaluation of rural air quality simulation models: Addendum C : Kincaid SOb2s. U.S. Environmental Protection Agency, Office of Air and Radiation, Office of Air Quality Planning and Standards, 1986.

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Thompson, William A. Evaluation of silvicultural investments under uncertainty using simulation. Forest Economics and Policy Analysis Research Unit, 1991.

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A, Finney Mark. FARSITE, Fire Area Simulator--model development and evaluation. U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, 1998.

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Park, Brian. Development and evaluation of a calibration and validation procedure for microscopic simulation models. Virginia Transportation Research Council, 2004.

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Cox, William M. Evaluation of rural air quality simulation models: Addendum A, Muskingum River data base. U.S. Environmental Protection Agency, Office of Air and Radiation, Office of Air Quality Planning and Standards, 1985.

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Reilly, Thomas E. Guidelines for evaluating ground-water flow models. U.S. Dept. of the Interior, U.S. Geological Survey, 2004.

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Reilly, Thomas E. Guidelines for evaluating ground-water flow models. U.S. Dept. of the Interior, U.S. Geological Survey, 2004.

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Book chapters on the topic "Evaluation of simulation models"

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Sobolev, Boris, Victor Sanchez, and Lisa Kuramoto. "Simulation Models." In Health Care Evaluation Using Computer Simulation. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-2233-4_4.

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Dias, Antonio F. V., and Allan F. Henry. "Evaluation of Systematically Derived Neutron Kinetics Models." In Nuclear Simulation. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-83221-5_20.

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Liu, Yukun, and Jing Chen. "Fidelity Evaluation for DELS Simulation Models." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45037-2_40.

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Mantzaras, John. "Evaluation of Models for Heterogeneous Catalysis." In Modeling and Simulation of Heterogeneous Catalytic Reactions. Wiley-VCH Verlag GmbH & Co. KGaA, 2011. http://dx.doi.org/10.1002/9783527639878.ch7.

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Murray-Smith, David J. "Sensitivity Analysis for Model Evaluation." In Testing and Validation of Computer Simulation Models. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15099-4_4.

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Westervelt, James. "Model Evaluation Guidelines." In Simulation Modeling for Watershed Management. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4613-0197-4_12.

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Garton, M. "Refining Automated Ultrasonic Inspections with Simulation Models." In Review of Progress in Quantitative Nondestructive Evaluation. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5339-7_236.

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Schlünzen, K. Heinke. "Standards for Evaluation of Atmospheric Models in Environmental Meteorology." In Simulation Foundations, Methods and Applications. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-70766-2_23.

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Sobolev, Boris, Victor Sanchez, and Lisa Kuramoto. "Simulation Model for Surgical Service." In Health Care Evaluation Using Computer Simulation. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-2233-4_13.

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Athavale, Atul, Lalita Udpa, Satish Udpa, and Zuorong Zhang. "Magnetic Particle Inspection Simulation Model." In Review of Progress in Quantitative Nondestructive Evaluation. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-0383-1_73.

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Conference papers on the topic "Evaluation of simulation models"

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Lin, Qi, and Zhi Li. "Credibility Evaluation of Simulation Models." In 2nd International Conference On Systems Engineering and Modeling. Atlantis Press, 2013. http://dx.doi.org/10.2991/icsem.2013.129.

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Han, Xiaoyan. "Simulation of Sonic IR Imaging of Cracks in Metals with Finite Element Models." In QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2006. http://dx.doi.org/10.1063/1.2184575.

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Jünger, Lukas, Jan Henrik Weinstock, Rainer Leupers, and Gerd Ascheid. "Fast SystemC Processor Models with Unicorn." In the Rapid Simulation and Performance Evaluation: Methods and Tools. ACM Press, 2019. http://dx.doi.org/10.1145/3300189.3300191.

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Marinho, Marcelo, Paulo Maciel, Erica Sousa, Teresa Maciel, and Ermeson Andrade. "Performance evaluation of test process based on stochastic models." In the 2010 Spring Simulation Multiconference. ACM Press, 2010. http://dx.doi.org/10.1145/1878537.1878684.

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David, Istvan, Hans Vangheluwe, and Yentl Van Tendeloo. "TRANSLATING ENGINEERING WORKFLOW MODELS TO DEVS FOR PERFORMANCE EVALUATION." In 2018 Winter Simulation Conference (WSC). IEEE, 2018. http://dx.doi.org/10.1109/wsc.2018.8632470.

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Clauss, Carsten, Stefan Lankes, Pablo Reble, and Thomas Bemmerl. "Evaluation and improvements of programming models for the Intel SCC many-core processor." In Simulation (HPCS). IEEE, 2011. http://dx.doi.org/10.1109/hpcsim.2011.5999870.

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Starke, E., U. Marschner, G. Pfeifer, W. J. Fischer, and A. B. Flatau. "Combining network models and FE-models for the simulation of electromechanical systems." In SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, edited by Mehrdad N. Ghasemi-Nejhad. SPIE, 2011. http://dx.doi.org/10.1117/12.885633.

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Casale, Giuliano. "Integrated Performance Evaluation of Extended Queueing Network Models with Line." In 2020 Winter Simulation Conference (WSC). IEEE, 2020. http://dx.doi.org/10.1109/wsc48552.2020.9383931.

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Bause, Falko, and Jan Kriege. "Detecting Non-Ergodic Simulation Models of Logistics Networks." In 2nd International ICST Conference on Performance Evaluation Methodologies and Tools. ICST, 2007. http://dx.doi.org/10.4108/valuetools.2007.1817.

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Lehfeldt, Rainer, Peter Milbradf, Julio A. Zyserman, and Volker Barthel. "EVALUATION OF SIMULATION MODELS USED FOR MORPHODYNAMIC STUDIES." In Proceedings of the 28th International Conference. World Scientific Publishing Company, 2003. http://dx.doi.org/10.1142/9789812791306_0279.

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Reports on the topic "Evaluation of simulation models"

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Im, Piljae, Yeonjin Bae, Seungjae Lee, and Joshua New. Empirical Validation of Multi-Zone HVAC System Model: Evaluation of Existing Infiltration Models used in Building Energy Simulation. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1648917.

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J. J. Jacobson, D. E. Shropshire, and W. B. West. Software Platform Evaluation - Verifiable Fuel Cycle Simulation (VISION) Model. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/911264.

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and Ben Polly, Joseph Robertson, Ben Polly, and Jon Collis. Evaluation of Automated Model Calibration Techniques for Residential Building Energy Simulation. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1220248.

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Robertson, J., B. Polly, and J. Collis. Evaluation of Automated Model Calibration Techniques for Residential Building Energy Simulation. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1096687.

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Stefano, J. M. Evaluation and modification of ASPEN fixed-bed gasifier models for inclusion in an integrated gasification combined-cycle power plant simulation. Office of Scientific and Technical Information (OSTI), 1985. http://dx.doi.org/10.2172/5362655.

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Ding, Yan, Sung-Chan Kim, Rusty L. Permenter, Richard B. Styles, and Jeffery A. Gebert. Simulations of Shoreline Changes along the Delaware Coast. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/39559.

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This technical report presents two applications of the GenCade model to simulate long-term shoreline evolution along the Delaware Coast driven by waves, inlet sediment transport, and longshore sediment transport. The simulations also include coastal protection practices such as periodic beach fills, post-storm nourishment, and sand bypassing. Two site-specific GenCade models were developed: one is for the coasts adjacent to the Indian River Inlet (IRI) and another is for Fenwick Island. In the first model, the sediment exchanges among the shoals and bars of the inlet were simulated by the Inlet Reservoir Model (IRM) in the GenCade. An inlet sediment transfer factor (γ) was derived from the IRM to quantify the capability of inlet sediment bypassing, measured by a rate of longshore sediments transferred across an inlet from the updrift side to the downdrift side. The second model for the Fenwick Island coast was validated by simulating an 11-y ear-long shoreline evolution driven by longshore sediment transport and periodic beach fills. Validation of the two models was achieved through evaluating statistical errors of simulations. The effects of the sand bypassing operation across the IRI and the beach fills in Fenwick Island were examined by comparing simulation results with and without those protection practices. Results of the study will benefit planning and management of coastal sediments at the sites.
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Terzic, Vesna, and William Pasco. Novel Method for Probabilistic Evaluation of the Post-Earthquake Functionality of a Bridge. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1916.

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While modern overpass bridges are safe against collapse, their functionality will likely be compromised in case of design-level or beyond design-level earthquake, which may generate excessive residual displacements of the bridge deck. Presently, there is no validated, quantitative approach for estimating the operational level of the bridge after an earthquake due to the difficulty of accurately simulating residual displacements. This research develops a novel method for probabilistic evaluation of the post-earthquake functionality state of the bridge; the approach is founded on an explicit evaluation of bridge residual displacements and associated traffic capacity by considering realistic traffic load scenarios. This research proposes a high-fidelity finite-element model for bridge columns, developed and calibrated using existing experimental data from the shake table tests of a full-scale bridge column. This finite-element model of the bridge column is further expanded to enable evaluation of the axial load-carrying capacity of damaged columns, which is critical for an accurate evaluation of the traffic capacity of the bridge. Existing experimental data from the crushing tests on the columns with earthquake-induced damage support this phase of the finite-element model development. To properly evaluate the bridge's post-earthquake functionality state, realistic traffic loadings representative of different bridge conditions (e.g., immediate access, emergency traffic only, closed) are applied in the proposed model following an earthquake simulation. The traffic loadings in the finite-element model consider the distribution of the vehicles on the bridge causing the largest forces in the bridge columns.
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Haga, Hitoshi. Evaluation Method for Road Load Simulation~Load Prediction for Durability Using a Tire Model. SAE International, 2005. http://dx.doi.org/10.4271/2005-08-0130.

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Schmelzer, Stefan, and Michael Miess. Combined Report on Work Package 6. Deliverable 6.1: Report on the Calibrated and Validated CGE Model with Implemented Scenarios Ready for Use. Deliverable 6.2: A Set of Simulation Results and Case StudiesDevelopment of an Evaluation Framework for the Introduction of Electromobility. Project: DEFINE - Development of an Evaluation Framework for the INtroduction of Electromobility. IHS - Institute for Advanced Studies, 2015. http://dx.doi.org/10.22163/fteval.2015.501.

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Combined Report on Work Package 6. Deliverable 6.1: Report on the Calibrated and Validated CGE Model with Implemented Scenarios Ready for Use. Deliverable 6.2: A Set of Simulation Results and Case StudiesDevelopment of an Evaluation Framework for the Introduction of Electromobility. Project: DEFINE - Development of an Evaluation Framework for the INtroduction of Electromobility
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Wang, Qing, and Melinda S. Peng. Evaluation and Improvement of High-resolution Mesoscale Models on Boundary Layer Simulations Using Ground-based Observations. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada531291.

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